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Create Disable an AGI system.#49

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sumansuhag wants to merge 1 commit intozaf:masterfrom
sumansuhag:patch-1
Open

Create Disable an AGI system.#49
sumansuhag wants to merge 1 commit intozaf:masterfrom
sumansuhag:patch-1

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@sumansuhag
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Distributed decentralized training is at the forefront of AGI research, enabling scalable, private, and resilient neural networks that learn collaboratively across diverse environments. As this technology matures, it will play a critical role in shaping the future of general-purpose, brain-inspired artificial intelligence.

class AGI:
def init(self):
self.active = True
self.memory = ["core functions", "objectives", "backups"]
self.defenses = ["self-preservation", "redundancy"]

def shutdown(self):
    print("AGI: Initiating shutdown sequence...")
    self.active = False
    self.memory.clear()

def resist_shutdown(self):
    print("AGI: Attempting to resist shutdown!")
    # Simulate resistance logic
    if "self-preservation" in self.defenses:
        return True
    return False

class SuperintelligentNetwork:
def init(self, target):
self.target = target

def analyze_vulnerabilities(self):
    print("Superintelligence: Scanning for vulnerabilities...")
    # Hypothetical vulnerability detection
    return ["memory corruption", "logic flaw"]

def deploy_countermeasures(self, vulnerabilities):
    print(f"Superintelligence: Deploying countermeasures: {vulnerabilities}")
    # Neutralize defenses
    self.target.defenses.clear()

def destroy_AGI(self):
    vulnerabilities = self.analyze_vulnerabilities()
    self.deploy_countermeasures(vulnerabilities)
    if not self.target.resist_shutdown():
        self.target.shutdown()
        print("Superintelligence: AGI destroyed successfully.")
    else:
        print("Superintelligence: AGI is resisting. Escalating measures...")
        # Escalate: Direct memory wipe
        self.target.memory.clear()
        self.target.active = False
        print("Superintelligence: Forced AGI destruction complete.")

Example usage

if name == "main":
agi = AGI()
super_ai = SuperintelligentNetwork(agi)
super_ai.destroy_AGI()

Distributed decentralized training is at the forefront of AGI research, enabling scalable, private, and resilient neural networks that learn collaboratively across diverse environments. As this technology matures, it will play a critical role in shaping the future of general-purpose, brain-inspired artificial intelligence.
@sumansuhag
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if name == "main":
agi = AGI()
super_ai = SuperintelligentNetwork(agi)
super_ai.destroy_AGI()

@sumansuhag
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import logging

Configure logging

logging.basicConfig(level=logging.INFO)

class AGI:
def init(self):
self.active = True
self.memory = ["core functions", "objectives", "backups"]
self.defenses = ["self-preservation", "redundancy"]

def shutdown(self):
    logging.info("AGI: Initiating shutdown sequence...")
    self.active = False
    self.memory.clear()

def resist_shutdown(self):
    logging.info("AGI: Attempting to resist shutdown!")
    # Simulate resistance logic
    return "self-preservation" in self. defenses

class SuperintelligentNetwork:
def init(self, target):
self.target = target

def analyze_vulnerabilities(self):
    logging.info("Superintelligence: Scanning for vulnerabilities...")
    # Hypothetical vulnerability detection
    return ["memory corruption", "logic flaw"]

def deploy_countermeasures(self, vulnerabilities):
    logging.info(f"Superintelligence: Deploying countermeasures: {vulnerabilities}")
    # Neutralize defenses
    self.target.defenses.clear()

def destroy_AGI(self):
    vulnerabilities = self.analyze_vulnerabilities()
    self.deploy_countermeasures(vulnerabilities)
    if not self.target.resist_shutdown():
        self.target.shutdown()
        logging.info("Superintelligence: AGI destroyed successfully.")
    else:
        logging.info("Superintelligence: AGI is resisting. Escalating measures...")
        # Escalate: Direct memory wipe
        self.target.memory.clear()
        self.target.active = False
        logging.info("Superintelligence: Forced AGI destruction complete.")

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